Real-Time Wind Turbine Blade Profile Anomaly Detection
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Solution Overview
Problem
Existing methods for monitoring turbine blades in wind turbines lack real-time capabilities, leading to operational inefficiencies and potential structural failures due to aerodynamic profile mismatches, which are difficult to detect and correct without human intervention.
Innovation Solution
A system and method for real-time anomaly data determination using sensors to capture structural and operational characteristics of turbine blades, comparing profile data to identify deviations, and generating anomaly data to automatically adjust operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If periodic manual inspections are used to monitor turbine blades, then operational simplicity is maintained, but real-time detection capability is lost leading to delayed anomaly identification
Solution Approach 1:
The patent replaces manual mechanical inspection methods with an automated optoelectronic measurement system using LIDAR sensors and profile analysis algorithms. This substitution enables continuous real-time monitoring of blade profiles, eliminating the time delay inherent in periodic manual inspections while maintaining high measurement precision through automated optical scanning and computational analysis.
Solution Approach 2:
The system enables the turbine blades to essentially monitor themselves through automated optoelectronic scanning and self-diagnosis capabilities. The profile measurement system continuously captures blade geometry data and automatically compares it against reference profiles, allowing the system to detect anomalies without external human intervention and immediately trigger alerts when deviations are found.
2Ease of manufacture
If stud hardware fixing is used for sensor installation, then ease of installation is improved, but aerodynamic profile mismatch is introduced
Solution Approach 1:
The patent employs thin-film adhesive mounting technology to attach sensors and optoelectronic components to the turbine blade surfaces. This thin-film approach allows sensors to be installed without protruding stud hardware, maintaining the smooth aerodynamic profile of the blades while providing secure sensor attachment. The thin-film method eliminates the need for mechanical fasteners that would disrupt airflow and alter the aerodynamic characteristics.
3Reliability
If real-time monitoring system is implemented, then anomaly detection capability is improved, but system complexity increases
Solution Approach 1:
The patent extracts and isolates the core monitoring function into a dedicated optoelectronic measurement subsystem using LIDAR technology. By separating the sensing, measurement, and analysis functions into distinct modular components, the system achieves real-time monitoring capability without overwhelming complexity. The LIDAR sensor module, profile analysis module, and anomaly detection algorithms are implemented as separate but integrated subsystems, allowing for easier maintenance and troubleshooting.
Solution Approach 2:
The patent introduces an intermediate optoelectronic measurement layer (LIDAR system) that mediates between the physical blade structure and the digital analysis system. This intermediary optoelectronic interface converts complex physical blade profile measurements into standardized digital data that can be easily processed and analyzed, simplifying the overall system architecture while enabling real-time monitoring capabilities.
4Productivity
If aerodynamic profile mismatches are not detected, then operational continuity is maintained, but structural failures and performance degradation occur
Solution Approach 1:
The patent implements preliminary continuous monitoring of blade profile deviations before they can lead to structural failures or significant performance degradation. By continuously measuring and analyzing blade profiles in real-time, the system detects aerodynamic mismatches at their earliest stages, allowing for preventive maintenance actions to be taken before the mismatches escalate into serious structural or operational problems.
Solution Approach 2:
The patent establishes a closed-loop feedback system where real-time profile measurements are continuously compared against reference profiles, and anomaly alerts are automatically generated when deviations exceed thresholds. This feedback mechanism enables immediate detection and response to aerodynamic profile mismatches, allowing operational adjustments or maintenance interventions that prevent productivity loss and structural damage while maintaining optimal energy production efficiency.
Data Source
AI summary
The present disclosure provides a system and method for real-time anomaly data determination for turbine blades of a wind turbine. The system receives sensor data associated with a set of turbine blades of the wind turbine. The sensor data indicates one or more structural characteristics associated with each of the set of turbine blades and/or one or more operational characteristics associated with each of the set of turbine blades. The system determines profile data associated with each of the set of turbine blades based on the sensor data. The system determines anomaly data associated with at least one of the set of turbine blades based on the profile data associated with each of the set of turbine blades. The anomaly data indicates a deviation between at least two turbine blades of the set of turbine blades. The system outputs the anomaly data.